The Probabilistic Mind: Prospects for Bayesian Cognitive ScienceThe rational analysis method, first proposed by John R. Anderson, has been enormously influential in helping us understand high-level cognitive processes. The Probabilistic Mind is a follow-up to the influential and highly cited 'Rational Models of Cognition' (OUP, 1998). It brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian The Probabilistic Mind will be valuable for psychologists and philosophers interested in cognition. |
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In this section , we will introduce the basic ideas behind Bayesian inference , and discuss how it can be used in different contexts . Basic Bayes Bayesian inference is based upon a simple formula known as Bayes ' rule ...
In the form given in ( 3 ) , Bayes ' rule seems relatively innocuous ( and perhaps rather uninteresting ! ) . Bayes ' rule gets its strength , and its notoriety , by making some assumptions about the variables we are considering and the ...
From this perspective , we should select the decision rule a * ( . ) that minimizes the risk , or expected loss : = R ( a ) = { [ ( 0,0 ( d ) ) p ( 0 , d ) Ꮎ , d ( 12 ) where the distribution on 0 and d captures both the natural ...
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Contents
prospects for a Bayesian cognitive science | 3 |
A primer on probabilistic inference | 33 |
Rational analyses instrumentalism and implementations | 59 |
Copyright | |
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Other editions - View all
The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford Limited preview - 2008 |
The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford No preview available - 2008 |